Kestra Python MCP Server
You can run the MCP Server in a Docker container. This is useful if you want to avoid managing Python environments or dependencies on your local machine.
Using Kestra AI Agent
See kestra_mcp_docker.
Minimal configuration for OSS users
Paste the following configuration into your MCP settings (e.g., Cursor, Claude, or VS Code):
{
"mcpServers": {
"kestra": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"--pull",
"always",
"-e",
"KESTRA_BASE_URL",
"-e",
"KESTRA_TENANT_ID",
"-e",
"KESTRA_MCP_DISABLED_TOOLS",
"-e",
"KESTRA_MCP_LOG_LEVEL",
"-e",
"KESTRA_USERNAME",
"-e",
"KESTRA_PASSWORD",
"ghcr.io/kestra-io/mcp-server-python:latest"
],
"env": {
"KESTRA_BASE_URL": "http://host.docker.internal:8080/api/v1",
"KESTRA_TENANT_ID": "main",
"KESTRA_MCP_DISABLED_TOOLS": "ee",
"KESTRA_MCP_LOG_LEVEL": "ERROR",
"KESTRA_USERNAME": "admin@kestra.io",
"KESTRA_PASSWORD": "your_password"
}
}
}
}
